Results 1 - 5 of 191
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    網路研討會
    Code-Along and Expert Q&A: Run Llama With PyTorch on Arm-Based Infrastructure
    Set up and run Meta’s Llama language model using PyTorch on Arm-based cloud instances. This session walks through configuring the environment, downloading the model, optimizing performance, running inference, and interacting through a Streamlit frontend — all tailored for Arm CPUs.
  • AI Readiness Index
    報告
    Arm AI 就緒指數
    以全方位角度分析全球的 AI 就緒程度，以及全球企業的採用和實作情況。
    人工智慧
  • MIT AI report social image
    報告
    Future of AI Processing Report
    With insights from Arm, AWS, Meta, and Samsung, this report from MIT Technology Review explores how heterogeneous compute powers seamless AI experiences.
    人工智慧
  • Thumbnail for webinar
    網路研討會
    Code-Along and Expert Q&A: Build A Multi-Arch AKS Cluster With x86 + Arm
    Learn how to build and deploy a multi-architecture Azure Kubernetes Service (AKS) cluster that runs workloads across both x86 (AMD64) and Arm-based (Arm64) nodes.
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    網路研討會
    Code-Along and Expert Q&A Series
    The Arm Cloud Migration code-along series helps developers build, optimize, and deploy cloud-native applications on Arm-based infrastructure.